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<h1><a href="aiplatform_v1.html">Vertex AI API</a> . <a href="aiplatform_v1.projects.html">projects</a> . <a href="aiplatform_v1.projects.locations.html">locations</a> . <a href="aiplatform_v1.projects.locations.nasJobs.html">nasJobs</a> . <a href="aiplatform_v1.projects.locations.nasJobs.nasTrialDetails.html">nasTrialDetails</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
  <code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
  <code><a href="#get">get(name, x__xgafv=None)</a></code></p>
<p class="firstline">Gets a NasTrialDetail.</p>
<p class="toc_element">
  <code><a href="#list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">List top NasTrialDetails of a NasJob.</p>
<p class="toc_element">
  <code><a href="#list_next">list_next()</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<h3>Method Details</h3>
<div class="method">
    <code class="details" id="close">close()</code>
  <pre>Close httplib2 connections.</pre>
</div>

<div class="method">
    <code class="details" id="get">get(name, x__xgafv=None)</code>
  <pre>Gets a NasTrialDetail.

Args:
  name: string, Required. The name of the NasTrialDetail resource. Format: `projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}` (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Represents a NasTrial details along with its parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned.
  &quot;name&quot;: &quot;A String&quot;, # Output only. Resource name of the NasTrialDetail.
  &quot;parameters&quot;: &quot;A String&quot;, # The parameters for the NasJob NasTrial.
  &quot;searchTrial&quot;: { # Represents a uCAIP NasJob trial. # The requested search NasTrial.
    &quot;endTime&quot;: &quot;A String&quot;, # Output only. Time when the NasTrial&#x27;s status changed to `SUCCEEDED` or `INFEASIBLE`.
    &quot;finalMeasurement&quot;: { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value.
      &quot;elapsedDuration&quot;: &quot;A String&quot;, # Output only. Time that the Trial has been running at the point of this Measurement.
      &quot;metrics&quot;: [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values.
        { # A message representing a metric in the measurement.
          &quot;metricId&quot;: &quot;A String&quot;, # Output only. The ID of the Metric. The Metric should be defined in StudySpec&#x27;s Metrics.
          &quot;value&quot;: 3.14, # Output only. The value for this metric.
        },
      ],
      &quot;stepCount&quot;: &quot;A String&quot;, # Output only. The number of steps the machine learning model has been trained for. Must be non-negative.
    },
    &quot;id&quot;: &quot;A String&quot;, # Output only. The identifier of the NasTrial assigned by the service.
    &quot;startTime&quot;: &quot;A String&quot;, # Output only. Time when the NasTrial was started.
    &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of the NasTrial.
  },
  &quot;trainTrial&quot;: { # Represents a uCAIP NasJob trial. # The train NasTrial corresponding to search_trial. Only populated if search_trial is used for training.
    &quot;endTime&quot;: &quot;A String&quot;, # Output only. Time when the NasTrial&#x27;s status changed to `SUCCEEDED` or `INFEASIBLE`.
    &quot;finalMeasurement&quot;: { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value.
      &quot;elapsedDuration&quot;: &quot;A String&quot;, # Output only. Time that the Trial has been running at the point of this Measurement.
      &quot;metrics&quot;: [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values.
        { # A message representing a metric in the measurement.
          &quot;metricId&quot;: &quot;A String&quot;, # Output only. The ID of the Metric. The Metric should be defined in StudySpec&#x27;s Metrics.
          &quot;value&quot;: 3.14, # Output only. The value for this metric.
        },
      ],
      &quot;stepCount&quot;: &quot;A String&quot;, # Output only. The number of steps the machine learning model has been trained for. Must be non-negative.
    },
    &quot;id&quot;: &quot;A String&quot;, # Output only. The identifier of the NasTrial assigned by the service.
    &quot;startTime&quot;: &quot;A String&quot;, # Output only. Time when the NasTrial was started.
    &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of the NasTrial.
  },
}</pre>
</div>

<div class="method">
    <code class="details" id="list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</code>
  <pre>List top NasTrialDetails of a NasJob.

Args:
  parent: string, Required. The name of the NasJob resource. Format: `projects/{project}/locations/{location}/nasJobs/{nas_job}` (required)
  pageSize: integer, The standard list page size.
  pageToken: string, The standard list page token. Typically obtained via ListNasTrialDetailsResponse.next_page_token of the previous JobService.ListNasTrialDetails call.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response message for JobService.ListNasTrialDetails
  &quot;nasTrialDetails&quot;: [ # List of top NasTrials in the requested page.
    { # Represents a NasTrial details along with its parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned.
      &quot;name&quot;: &quot;A String&quot;, # Output only. Resource name of the NasTrialDetail.
      &quot;parameters&quot;: &quot;A String&quot;, # The parameters for the NasJob NasTrial.
      &quot;searchTrial&quot;: { # Represents a uCAIP NasJob trial. # The requested search NasTrial.
        &quot;endTime&quot;: &quot;A String&quot;, # Output only. Time when the NasTrial&#x27;s status changed to `SUCCEEDED` or `INFEASIBLE`.
        &quot;finalMeasurement&quot;: { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value.
          &quot;elapsedDuration&quot;: &quot;A String&quot;, # Output only. Time that the Trial has been running at the point of this Measurement.
          &quot;metrics&quot;: [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values.
            { # A message representing a metric in the measurement.
              &quot;metricId&quot;: &quot;A String&quot;, # Output only. The ID of the Metric. The Metric should be defined in StudySpec&#x27;s Metrics.
              &quot;value&quot;: 3.14, # Output only. The value for this metric.
            },
          ],
          &quot;stepCount&quot;: &quot;A String&quot;, # Output only. The number of steps the machine learning model has been trained for. Must be non-negative.
        },
        &quot;id&quot;: &quot;A String&quot;, # Output only. The identifier of the NasTrial assigned by the service.
        &quot;startTime&quot;: &quot;A String&quot;, # Output only. Time when the NasTrial was started.
        &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of the NasTrial.
      },
      &quot;trainTrial&quot;: { # Represents a uCAIP NasJob trial. # The train NasTrial corresponding to search_trial. Only populated if search_trial is used for training.
        &quot;endTime&quot;: &quot;A String&quot;, # Output only. Time when the NasTrial&#x27;s status changed to `SUCCEEDED` or `INFEASIBLE`.
        &quot;finalMeasurement&quot;: { # A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values. # Output only. The final measurement containing the objective value.
          &quot;elapsedDuration&quot;: &quot;A String&quot;, # Output only. Time that the Trial has been running at the point of this Measurement.
          &quot;metrics&quot;: [ # Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values.
            { # A message representing a metric in the measurement.
              &quot;metricId&quot;: &quot;A String&quot;, # Output only. The ID of the Metric. The Metric should be defined in StudySpec&#x27;s Metrics.
              &quot;value&quot;: 3.14, # Output only. The value for this metric.
            },
          ],
          &quot;stepCount&quot;: &quot;A String&quot;, # Output only. The number of steps the machine learning model has been trained for. Must be non-negative.
        },
        &quot;id&quot;: &quot;A String&quot;, # Output only. The identifier of the NasTrial assigned by the service.
        &quot;startTime&quot;: &quot;A String&quot;, # Output only. Time when the NasTrial was started.
        &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of the NasTrial.
      },
    },
  ],
  &quot;nextPageToken&quot;: &quot;A String&quot;, # A token to retrieve the next page of results. Pass to ListNasTrialDetailsRequest.page_token to obtain that page.
}</pre>
</div>

<div class="method">
    <code class="details" id="list_next">list_next()</code>
  <pre>Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call &#x27;execute()&#x27; on to request the next
          page. Returns None if there are no more items in the collection.
        </pre>
</div>

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